1. Database may need completely redoing if a single field in one relational table has to be changed.
2. If an ERD is resolved incorrectly then it would have to be redone.
Disadvantages of data types include the potential for data loss during type conversions, which can occur when changing from a more complex type to a simpler one. Additionally, rigid data type constraints can limit flexibility, making it difficult to handle diverse data inputs. This can lead to increased complexity in code, as developers must implement additional checks and conversions to accommodate various data types. Lastly, improper use of data types can result in performance issues, particularly in large datasets or when processing speed is critical.
logical reasoning
Circular queues are very efficient and work well with low level codes. Ordinary queues are the standard type of queue but they do not maximize memory data well.
Multivalued dependencies (MVDs) in a database management system (DBMS) allow for the storage of multiple values for a single attribute, facilitating more complex data relationships and reducing redundancy. This can enhance data integrity and streamline queries by grouping related data together. However, MVDs can also lead to complexities in database design and normalization, potentially causing anomalies and making it more challenging to enforce data integrity constraints. Additionally, they may complicate query performance and maintenance, as retrieving data may require more intricate joins and operations.
Data Manipulation Language (DML) in SQL, such as SELECT, INSERT, UPDATE, DELETE, allows users to retrieve, modify, and delete data in a database. One advantage of DML is its flexibility in manipulating data, enabling users to perform complex queries and updates. However, a disadvantage is the potential for human error when writing DML statements, which can lead to unintended data modifications or deletions. Additionally, DML operations can impact database performance, especially when dealing with large datasets.
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Hi, High level Data modelling is the process of define and analyze the data requirement.
computer are not exact. It is approx
data modelling is used for organising and structuring of data. we can get overview through generic modelling. organising of data means representing the data in such a way that it comes in a particular order via graphical representation.
Data Sources
logical organization
Entity-Relationship diagrams are useful for modelling data and the relationships between the data. They can be used when the constraints between data are relatively simple. They do not allow specification of interactions between the data or model how the data changes (there are no processes in Entity-Relationship). Entity-Relationship diagrams are most often used to model databases.
Primary partition:you can install additional Operating system (eg:- windows 8, linux etc.)Logical Partition:Just additional drive which can be used to store additional data/ normal files/ software.
Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.Any kind of data, including text, numbers, dates, times and logical data can be entered into a cell.
The advantages of OODBMS include; extensibility, expressive query language, improved performance, ability to handle many data types, enriched modelling capabilities and support for long transactions. The disadvantages are as follows; lack of standards, lack of experience, competition, compromised encapsulation due to query optimization and lack of a universal data model.
A logical unit of data is a virtual representation of data while a physical unit of data is the actual storage of data on a physical device. The logical unit of data is how data is organized and manipulated from a software perspective, while the physical unit of data is how data is stored on hardware such as disks or memory.
A schema separates the physical aspect of data storagefrom the logical aspects of data representation.